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https://issues.apache.org/jira/browse/SPARK-22905?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16305905#comment-16305905
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zhengruifeng edited comment on SPARK-22905 at 12/29/17 2:08 AM:
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Many other models are saved in the same way
{{sparkSession.createDataFrame(...).repartition(1).write.parquet}}, are they
needed to be fixed?
was (Author: podongfeng):
Many other models are saved in the same way
{sparkSession.createDataFrame(...).repartition(1).write.parquet}, are they
needed to be fixed?
> Fix ChiSqSelectorModel save implementation
> ------------------------------------------
>
> Key: SPARK-22905
> URL: https://issues.apache.org/jira/browse/SPARK-22905
> Project: Spark
> Issue Type: Bug
> Components: MLlib
> Affects Versions: 2.2.1
> Reporter: Weichen Xu
> Assignee: Weichen Xu
> Fix For: 2.3.0
>
> Original Estimate: 24h
> Remaining Estimate: 24h
>
> Currently, in `ChiSqSelectorModel`, save:
> {code}
> spark.createDataFrame(dataArray).repartition(1).write...
> {code}
> The default partition number used by createDataFrame is "defaultParallelism",
> Current RoundRobinPartitioning won't guarantee the "repartition" generating
> the same order result with local array. We need fix it.
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